Heico (HEI) Tax Provisions (2009 - 2026)
Heico's Tax Provisions came in at $66.1 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 49.2% from $44.3 million a year earlier but down 1.6% from the prior quarter.
Heico (HEI) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Heico reported Tax Provisions of $204.6 million, up 50.0% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $148 million, up 24.9% from FY2024.
- Tax Provisions has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 38.5% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $118.5 million in FY2024 (+6.9%), $110.9 million in FY2023 (+10.5%), $100.4 million in FY2022 (+75.2%) and $57.3 million in FY2021 (+97.6%).
- The five-year range for quarterly Tax Provisions is $4 million (fiscal Q1 2022) to $67.2 million (fiscal Q2 2026).
- Year-over-year, Tax Provisions has increased for six consecutive quarters, with growth averaging 33.6% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q1 2023 (growth of 425.0%), and the weakest in fiscal Q3 2023 (a decline of 26.2%).
- Business Quant data shows HEI's Tax Provisions at $67.2 million (Q2 2026), $26.7 million (Q1 2026) and $44.6 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Heico | 42.34 Bn | 42.03 Bn | 580.99 Mn | 66.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 66.10 Mn |
| Apr 30, 2026 | 67.20 Mn |
| Jan 31, 2026 | 26.70 Mn |
| Oct 31, 2025 | 44.60 Mn |
| Jul 31, 2025 | 44.30 Mn |
| Apr 30, 2025 | 45.40 Mn |
| Jan 31, 2025 | 13.70 Mn |
| Oct 31, 2024 | 33.00 Mn |
| Jul 31, 2024 | 32.50 Mn |
| Apr 30, 2024 | 36.20 Mn |
| Jan 31, 2024 | 16.80 Mn |
| Oct 31, 2023 | 33.50 Mn |
| Jul 31, 2023 | 25.40 Mn |
| Apr 30, 2023 | 31.00 Mn |
| Jan 31, 2023 | 21.00 Mn |
| Oct 31, 2022 | 33.00 Mn |
| Jul 31, 2022 | 34.40 Mn |
| Apr 30, 2022 | 29.00 Mn |
| Jan 31, 2022 | 4.00 Mn |
| Oct 31, 2021 | 20.90 Mn |
Heico Tax Provisions API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=tax-provisions&ticker=HEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "HEI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();